Data Integration

Upgrading to Actian DataConnect Version 9 to Version 11: A Better Journey

Actian Corporation

March 15, 2018

About a year ago I wrote an article discussing upgrading from Actian DataConnect Version 9 to Version 10 (Actian DataConnect – The Conversion from v9 to v10 does not have to be scary!!)  That article used the v9 or v10 Process object to use a script step to do the magic, with code that could be used to accomplish this.

Well, now we have the exciting new Actian DataConnect Version 11. What will you need to know about upgrading, especially if you’re still using Version 9? How easy is it?

The first thing I did was look around within the tool. It looks good, and somewhat intuitive, especially for previous v9 users. The next thing I wanted to check out was the import tool. I noticed immediately that the file menu had an Import option:

dataconnect import

It opens a wizard, where I choose to Import a Version 9 Workspace:


Press Finish and it does the process to migrate. Now open the DataConnect v11 workspace and choose what you want:

open file actian

Here’s what I chose:

open file selections actian

And it opened this:

dataconnect choices

This was the original:

original dataconnect log

And that’s the simple migration process from DataConnect v9 to v11.  A much better customer experience than before. Enjoy!

You can read more about DataConnect, Actian’s hybrid data integration solution, here and if you have any questions feel free to ask the DataConnect Community right here.

About Actian Corporation

Actian is helping businesses build a bridge to a data-defined future. We’re doing this by delivering scalable cloud technologies while protecting customers’ investments in existing platforms. Our patented technology has enabled us to maintain a 10-20X performance edge against competitors large and small in the mission-critical data management market. The most data-intensive enterprises in financial services, retail, telecommunications, media, healthcare and manufacturing trust Actian to solve their toughest data challenges.